Credit rating analysis using adaptive fuzzy rule-based systems: an industry-specific approach

DOI10.1007/S10100-011-0229-0zbMath1339.91124OpenAlexW2050532363MaRDI QIDQ300800

Petr Hájek

Publication date: 29 June 2016

Published in: CEJOR. Central European Journal of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10100-011-0229-0

zbMATH Keywords

neural networksystemcredit ratingcorporate ratingfuzzy rule-basedmunicipal rating

Mathematics Subject Classification ID

Applications of statistics to actuarial sciences and financial mathematics (62P05) Credit risk (91G40) Multivariate analysis and fuzziness (62H86)

Related Items (3)

Special issue of the Czech Society for Operations Research ⋮ Machine learning in corporate credit rating assessment using the expanded audit report ⋮ Multistage decision-making fuzzy methodology for optimal investments based on experts' evaluations

Cites Work

• The credit risk\(^{+}\) model with general sector correlations
• A fuzzy system for municipalities classification
• Modelling credit rating by fuzzy adaptive network
• Wrappers for feature subset selection
• Fuzzy sets as a basis for a theory of possibility
• Municipal Creditworthiness Modelling by Kernel-Based Approaches with Supervised and Semi-supervised Learning
• New Computational Paradigms
• Differentiating between good credits and bad credits using neuro-fuzzy systems
• Fuzzy classifier design
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Credit rating analysis using adaptive fuzzy rule-based systems: an industry-specific approach